code: def test_dummy_quantile(fit_helper):
      fit_args = dict(
          hyperparameters={"DUMMY": {}},
      )
      dataset_name = "ames"
      init_args = dict(
          problem_type="quantile",
          quantile_levels=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9],
      )
      fit_helper.fit_and_validate_dataset(
          dataset_name=dataset_name,
          fit_args=fit_args,
          init_args=init_args,
      )
  
file_path: autogluon/tabular/tests/unittests/models/test_dummy.py
imports: import os
  from pathlib import Path
  import pytest
  from autogluon.core.constants import BINARY, MULTICLASS, REGRESSION
  from autogluon.core.metrics import METRICS
  from autogluon.core.models.dummy.dummy_model import DummyModel
label_desc: Use image node_id 6 for calling a global function with example usage: test_dummy_quantile(fit_helper) without return types